Python and TensorFlow Data Science and Iris Speciation

Machine learning allows you to build more powerful, more accurate and more user friendly software that can better respond and adapt.

Many companies are integrating machine learning or have already done so, including the biggest Google, Facebook, Netflix, and Amazon.

There are many high paying machine learning jobs.

Jump into this fun and exciting course to land your next interesting and high paying job with the projects you’ll build and problems you’ll learn how to solve.

In just a matter of hours you’ll have new skills with projects to back them up: 

Deep dive into machine learning

Problems that machine learning solves

Types of machine learning

Common machine learning structures

Steps to building a machine learning model

Build a linear regression machine learning model with TensorFlow

Test and train the model

Python variables and operators

Collection types

Conditionals and loops

Functions

Classes and objects

Install and import NumPy

Build NumPy arrays

Multidimensional NumPy arrays

Array indexes and properties

NumPy functions

NumPy operations

And much more!

Add new skills to your resume in this project based course:

Graph data with PyPlot

Customize graphs

Build 3D graphs with PyPlot

Use TensorFlow to build a program to categorize irises into different species.

Build a classification model